The document outlines the evolution of Microsoft SQL Server from 2000 to 2019, highlighting key features and innovations in various versions such as 2008, 2012, 2014, 2016, and 2017. It details enhancements in performance, security, cloud readiness, and new functionalities like intelligent query processing and big data integration. Additionally, it provides resources for further learning and engagement with Microsoft SQL Server.

3. SQL Server
2008
SQL Server
2008 R2
SQL Server
2000XML ● KPIs
Compression ● Policy-Based Mgmt ● Programmability
PowerPivot ● SharePoint Integration ● Master Data Services
SQL Server
2012
AlwaysOn ● ColumnStore Index ● Data Quality Services ● Power View ● Cloud Connectivity
SQL Server
2014
In-Memory Across Workloads ● Performance & Scale ● Hybrid Cloud Optimized ● HDInsight ● Cloud BI
Management Studio ● Mirroring
SQL Server
2005
SQL Server
2016
Enhanced Always On ● In-Memory OLTP ● Stretch DB ● Temporal Tables ● Enhanced Backup to Cloud ● Polybase ● Real-Time
Operational Analytics ● Row-Level Security ● Query Store ● R Services● Always Encrypted ● Mobile BI
The evolution of Microsoft SQL Server (2016 era)

4. SQL Server 2017: Feature History
AREAS FEATURES
SQL
Server
2017
SQL
Server
2016
SQL Server
2014
SQL Server
2012
SQL
Server
2008 R2
SQL
Server
2008
Performance
In-Memory OLTP ✓ ✓ ✓   
In-Memory ColumnStore ✓ ✓ ✓ ✓  
Adaptive Query Processing & Automatic Plan Correction ✓     
Native T-SQL Scoring ✓     
Real-time operational analytics ✓ ✓    
Availability
Always On Availability Groups ✓ ✓ ✓ ✓  
Cross Platform High Availability ✓     
Windows Server Core Support ✓ ✓ ✓ ✓  
Security
Transparent Data Encryption ✓ ✓ ✓ ✓ ✓ ✓
Dynamic data masking ✓ ✓    
Row-Level Security ✓ ✓    
Always Encrypted ✓ ✓    
Cloud-Readiness
Backup to Microsoft Azure ✓ ✓ ✓   
Gallery of VM images in Microsoft Azure ✓ ✓ ✓ ✓ ✓ 
Stretch Database into Azure ✓ ✓    
Management &
Programmability
Policy Based Management ✓ ✓ ✓ ✓ ✓ ✓
Distributed Replay ✓ ✓ ✓ ✓  
Graph Data and Queries ✓     
Python ✓     
In-database Advanced Analytics “R” ✓ ✓    
EnhancedFeatures
New Features

6. Insights in minutes
and rich reports
Choice of platform
and language
Most secure
over the last 8 years5
0
20
40
60
80
100
120
140
160
180
200
Vulnerabilities(2010-2017)
The best of Power BI and
SQL Server Reporting Services
in Power BI Report Server
Industry-leading
performance
#1 OLTP performance1
#1 DW performance on
1TB2, 10TB3, and 30TB4
Private cloud Public cloud
Most consistent data
platform
In-memory across all
workloads
1/10th the cost of
Oracle
T-SQL
Java
C/C++
SCALA
Node.js
C#/VB.NET
Python
Ruby
.NET core
All TPC Claims as of 1/19/2018.
1 http://www.tpc.org/4081; 2 http://www.tpc.org/3331; 3 http://www.tpc.org/3326; 4 http://www.tpc.org/3321; 5 National Institute of Standards and Technology Comprehensive Vulnerability Database
Intelligence over
any data
Analytics over structured
and unstructured data with
the power of SQL and
Apache Spark
Now with big data clusters
Modernize
SQL

7. Key New Functionality
1 0 1 0
0 1 0 1
0 1 1 0
SQL
ciphertext
Enclave
plaintext
R
SQL Server 2019
plaintext
Enhanced
client driver

8. The intelligent database
The Intelligent Query Processing feature family
Intelligent QP
Adaptive QP
Adaptive Joins
Batch Mode
Interleaved
Execution
Memory Grant
Feedback
Row ModeBatch Mode
Table Variable
Deferred Compilation
Approximate QP
Approximate
Count Distinct
Batch Mode for
Row Store
Scalar UDF
inlining

9. Confidential computing
plaintext ciphertext
Enhanced
client driver
Enclave
plaintext
Always Encrypted with secure enclaves

10. Availability groups on Kubernetes
Keep SQL Server running
AG
Pod
Operator
Pod
SQL
Server
primary
AG agent
Load
balancer
Pod
SQL
Server
secondary
AG agent
Pod
SQL Server
secondary
AG agent
Load
balancer

11. SQL
Serv
er
R

13. Container Container Container
Portable
Run anywhere Docker is supported
Lightweight
Reduced disk, CPU, and memory footprint
Consistent
Consistent image of SQL Server, scripts, and tools
Efficient
Faster deployment, reduced patching, and
less downtime
Container configuration
Database
Persisted storage
Switch for
simple
upgrades

14. Persistent Volume Storage
Kubernetes
Built-in HADR orchestration with no clustering required
User
Node
Pod
SQL Server
Node
Load Balancer Service
Node
Pod
SQL Server
Pod
SQL Server

15. Availability groups on Kubernetes
AG
Pod
Operator
Pod
SQL
Server
primary
AG agent
Load
balancer
Pod
SQL
Server
secondary
AG agent
Pod
SQL Server
secondary
AG agent
SQL
Server
primary
SQL
Server
secondary
Load
balancer

16. SQL Server
T-SQLAnalytics Apps
ODBC NoSQL Relational databases Big data
PolyBase external tables
✓ Distributed compute engine integrated with SQL Server
✓ Query data where it lives using T-SQL
✓ Distributed, scalable query performance
✓ Manual/deploy with SQL Server
✓ Auto deploy/optimize with Big Data Clusters
Intelligence over all data
“It’s all about
Data Virtualization”

18. Managed SQL Server, Spark,
and data lake
Store high volume data in a data lake and
access it easily using either SQL or Spark
Management services, admin portal, and
integrated security make it all easy to manage
SQL Server
Data virtualization
Combine data from many sources without
moving or replicating it
Scale out compute and caching to boost
performance
T-SQL
Analytics Apps
Open
database
connectivity
NoSQL Relational
databases
HDFS
Complete AI platform
Easily feed integrated data from many sources
to your model training
Ingest and prep data and then train, store, and
operationalize your models all in one system
SQL Server External Tables
Compute pools and data pools
Spark
Scalable, shared storage (HDFS)
External
data
sources
Admin portal
and management services
Integrated AD-based security
SQL Server
ML Services
Spark &
Spark ML
HDFS
REST API
containers for
models

19. Compute pool
SQL Compute
Node
SQL Compute
Node
SQL Compute
Node
…
Compute pool
SQL Compute
Node
IoT data
Directly
read from
HDFS
Persistent storage
…
Storage pool
SQL
Server
Spark
HDFS Data Node
SQL
Server
Spark
HDFS Data Node
SQL
Server
Spark
HDFS Data Node
Kubernetes
pod
Analytics
Custom
apps BI
SQL Server
master instance
Node Node Node Node Node Node Node
SQL
Data mart
SQL Data
Node
SQL Data
Node
Compute pool
SQL Compute
Node
Storage Storage
Control Plane
Controller Svc
Configuration Store (SQL Server)
Grafana
Elastic Search
Azure FSM Engine
InfluxDB
Kibana
App Deploy
HDFS Tiering

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in table '%.*ls', column '%.*ls’.
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CROSS APPLY sys.dm_db_page_info(r.db_id,
r.file_id, r.page_id,'DETAILED')
AS page_info;

21. Microsoft Access

22. http://aka.ms/bobwardms
http://aka.ms/bobsqldemos
http://aka.ms/sqllinuxbook
Use our free training at https://aka.ms/sqlworkshops
Learn from videos and demos at https://aka.ms/sqlchannel
Download and try it at http://aka.ms/ss19
What’s new for SQL 2019 documentation
Sign-up for the EAP program at https://aka.ms/eapsignup

23. Thank you!
george.walters@microsoft.com
@geo_walters on twitter
Blog: https://georgewalters.wordpress.com/
Resources:
SQL Server Blog: https://cloudblogs.microsoft.com/sqlserver/
MicrosoftDocumentation(Prettygood nowadays!)https://docs.microsoft.com/en-us/
Learningvia docs: https://docs.microsoft.com/en-us/learn/
Hands-onlabs: https://www.microsoft.com/handsonlabs
In-Personevents: https://events.microsoft.com/
SQL Saturday(Centered aroundMicrosoftdata platform):http://www.sqlsaturday.com
EdX has tons of material:https://www.edx.org/course?search_query=microsoft